Published March 2012
| public
Book Section - Chapter
A new converse in rate-distortion theory
- Creators
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Kostina, Victoria
- Verdú, Sergio
Chicago
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Abstract
This paper shows new finite-blocklength converse bounds applicable to lossy source coding as well as joint source-channel coding, which are tight enough not only to prove the strong converse, but to find the rate-dispersion functions in both setups. In order to state the converses, we introduce the d-tilted information, a random variable whose expectation and variance (with respect to the source) are equal to the rate-distortion and rate-dispersion functions, respectively.
Additional Information
© 2012 IEEE. This work was supported in part by the National Science Foundation (NSF) under Grant CCF-1016625 and by the Center for Science of Information (CSoI), an NSF Science and Technology Center, under Grant CCF-0939370. The first author was supported in part by the Natural Sciences and Engineering Research Council of Canada.Additional details
- Eprint ID
- 49532
- DOI
- 10.1109/CISS.2012.6310949
- Resolver ID
- CaltechAUTHORS:20140910-102046386
- NSF
- CCF-1016625
- NSF
- CCF-0939370
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- Created
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2014-09-10Created from EPrint's datestamp field
- Updated
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2021-11-10Created from EPrint's last_modified field